Optimization of LDPC-coded power series MIMO/FSO link with hybrid-SIM based on machine learning in satellite downlink for 5G and beyond applications

IF 1.7 4区 计算机科学 Q3 TELECOMMUNICATIONS Telecommunication Systems Pub Date : 2024-07-01 DOI:10.1007/s11235-024-01178-7
Dheeraj Dubey, Yogendra Kumar Prajapati, Rajeev Tripathi
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Abstract

This study presents a thorough evaluation of satellite downlink performance in a Free Space Optics (FSO) system with a Low-Density-Parity-Check (LDPC) based Multiple-Input-Multiple-Output (MIMO) configuration. Atmospheric turbulence is characterized using a generalized K-distribution and a negative exponential distribution, with specified parameters. Key performance metrics including Bit Error Rate (BER), outage probability, and accuracy are measured. To address pointing-errors (PEs) and atmospheric turbulence (AT), a novel decoding methodology for Non-Recursive Convolutional Polynomial Encoding (NRCPE)-based Pulse Position Modulation (PPM)-Gaussian Minimum Shift Keying (GMSK)-modulated FSO transmissions is introduced, leveraging Support Vector Machines (SVM). The study introduces a sophisticated Meijer-G function for MIMO statistical analysis and proposes a power series-based Probability Density Function (PDF) with non-recursive GMSK modulation. This PDF allows closed-form derivation of BER and Outage Probability expressions, showcasing improved MIMO link performance in the presence of PEs and AT. Simulations validate the models, offering insights into their effectiveness across varying turbulence levels. The findings assist FSO-MIMO designers in minimizing PEs,AT and achieving optimal results.Subsequently, authors perform a suppression to BER, Particularly, the optimum beam width factors for \(\left\{p\times q|1\times 2\times 2, \& 2\times 3\right\}\), diversity degrees by a \(\left\{p\times q|1\times 1\right\}\), as a reference are 81.24%, 87.32%, and 89.61%, respectively, at \({\varepsilon }_{nj}=4.02\) and \({I}_{o}=10\text{ dBm}\).The proposed MIMO/FSO provides accuracy and an irradiances gain of 13.34dBm,i.e.,\({\varepsilon }_{nj}=5.03\) at BER \({10}^{-9}\) for downlink satellite transmission over SIMO and SISO FSO links. This study provides a comprehensive framework for optimizing FSO communication systems, considering atmospheric turbulence and pointing errors.

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基于机器学习的卫星下行链路 LDPC 编码功率串联 MIMO/FSO 链路与混合-SIM 的优化,用于 5G 及其他应用
本研究对自由空间光学(FSO)系统中的卫星下行链路性能进行了全面评估,该系统采用基于低密度奇偶校验(LDPC)的多输入多输出(MIMO)配置。大气湍流的特征采用广义 K 分布和负指数分布,并指定了参数。测量的关键性能指标包括比特误码率(BER)、中断概率和精度。为解决定点误码(PE)和大气湍流(AT)问题,利用支持向量机(SVM)为基于非递归卷积多项式编码(NRCPE)的脉冲位置调制(PPM)-高斯最小移位键控(GMSK)调制 FSO 传输引入了一种新型解码方法。研究为 MIMO 统计分析引入了复杂的 Meijer-G 函数,并提出了基于功率序列的非递归 GMSK 调制概率密度函数 (PDF)。利用该概率密度函数可以闭式推导出误码率和中断概率表达式,展示了在存在PE和AT的情况下MIMO链路性能的改善。仿真验证了这些模型,深入了解了它们在不同湍流水平下的有效性。这些发现有助于FSO-MIMO设计人员最大限度地减少PEs、AT并获得最佳结果。随后,作者对误码率进行了抑制,特别是,以(\left\{p\times q|1\times 2\times 2, \& 2\times 3\right\}\)的最佳波束宽度系数、以(\left\{p\times q|1\times 1\right\}\)的分集度作为参考,分别为81.在 \({\varepsilon }_{nj}=4.02\) 和 \({I}_{o}=10\text{ dBm}\) 条件下,提议的 MIMO/FSO 提供了 13.34dBm 的精度和辐照增益,即、\在误码率为({10}^{-9}\)的情况下,所提出的MIMO/FSO为SIMO和SISO FSO链路的下行卫星传输提供了精确度和13.34dBm的辐照增益,即({\varepsilon }_{nj}=5.03\)。这项研究为优化 FSO 通信系统提供了一个考虑到大气湍流和指向误差的综合框架。
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来源期刊
Telecommunication Systems
Telecommunication Systems 工程技术-电信学
CiteScore
5.40
自引率
8.00%
发文量
105
审稿时长
6.0 months
期刊介绍: Telecommunication Systems is a journal covering all aspects of modeling, analysis, design and management of telecommunication systems. The journal publishes high quality articles dealing with the use of analytic and quantitative tools for the modeling, analysis, design and management of telecommunication systems covering: Performance Evaluation of Wide Area and Local Networks; Network Interconnection; Wire, wireless, Adhoc, mobile networks; Impact of New Services (economic and organizational impact); Fiberoptics and photonic switching; DSL, ADSL, cable TV and their impact; Design and Analysis Issues in Metropolitan Area Networks; Networking Protocols; Dynamics and Capacity Expansion of Telecommunication Systems; Multimedia Based Systems, Their Design Configuration and Impact; Configuration of Distributed Systems; Pricing for Networking and Telecommunication Services; Performance Analysis of Local Area Networks; Distributed Group Decision Support Systems; Configuring Telecommunication Systems with Reliability and Availability; Cost Benefit Analysis and Economic Impact of Telecommunication Systems; Standardization and Regulatory Issues; Security, Privacy and Encryption in Telecommunication Systems; Cellular, Mobile and Satellite Based Systems.
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